scholarly journals GXE INTERACTION ANALYSIS OF WHEAT GENOTYPES UNDER RESTRICTED IRRIGATED TIMELY SOWN CONDITIONS FOR NORTH WESTERN PLAINS ZONE OF THE COUNTRY BY AMMI MODEL

2020 ◽  
Vol 8 (3) ◽  
pp. 287-295
Author(s):  
Ajay Verma ◽  
◽  
GP Singh ◽  
Keyword(s):  
Interaction Analysis ◽  
Wheat Genotypes ◽  
Gxe Interaction ◽  
Ammi Model ◽  
North Western

Simultaneous Use of AMMI Model and Yield for Stability Analysis of Wheat Genotypes Evaluated Under Central Zone of the India

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Ajay Verma ◽  
Gyanendra Pratap Singh
Keyword(s):  
Central Zone ◽  
High Yield ◽  
First Year ◽  
Wheat Genotypes ◽  
Gxe Interaction ◽  
Ammi Analysis ◽  
Stable Performance ◽  
Ammi Model ◽  
Simultaneous Use ◽  
High Degree

AMMI analysis had observed highly significant effects of environment (E), GxE interaction and genotypes (G) during 2018-19 and 2019-20 years of study. Suitability of PBW822, HI8811 & HI8713 genotypes as compared to HD3345 by WAASB measure for first year. Superiority index found HD3345, PBW822 & NIDW1158 as of stable performance with high yield. PRVG measures settled for HI8811, GW322 & HI 8737 and MHPRVG considered HI8811, HI8713 & GW322 wheat genotypes. All negative values of correlations exhibited by SI measure whereas WAASB measure exhibited direct relationships as well as negative values with SI, PRVG, MHPRVG and yield. WAASB measure observed suitability of GW513, HI1636 & MACS6747 wheat genotypes for the second year. Superiority index found GW513, HI1636 & HI1544 as of stable performance along with high yield. PRVG as well as MHPRVG measures observed suitability of GW513, HI1636, & MP1361 while HD3377 as unstable wheat genotype. SI measure had expressed only indirect relations of high degree with other measures except of positive values with yield, PRVG and MHPRVG. Measure WAASB had exhibited direct relations with most of measures along with negative correlation for SI, yield, PRVG and MHPRVG values. Stability measures by simultaneous use of AMMI analysis and average yield of genotypes would be more meaningful as compared to measures based either on the AMMI or yield only.

scholarly journals Superiority index based on AMMI and yield of wheat genotypes evaluated in North Western Plains Zone under restricted irrigated timely sown conditions

2021 ◽  
Vol 17 (1) ◽  
pp. 73-82
Author(s):  
Ajay Verma ◽  
G. P. Singh
Keyword(s):  
High Yield ◽  
Average Yield ◽  
Wheat Genotypes ◽  
Gxe Interaction ◽  
Ammi Analysis ◽  
Stable Performance ◽  
Second Year ◽  
Positive Correlations ◽  
High Degree ◽  
North Western

Highly significant effects of environment (E), GxE interaction and genotypes (G) were observed by AMMI analysis during 2018-19 and 2019-20 study years for wheat genotypes evaluated at major locations of mega zone of the country. WAASB measure observed suitability of HD3237, WH1080 and PBW644 genotypes. Superiority index while weighting 0.65 and 0.35 for yield and stability found HI1620, HD3237 and HI1628 as of stable performance with high yield. PRVG measure observed suitability of HI1620, HI1628 and BRW3806 while MHPRVG measure identified HI1620, HI1628 and HD3237 wheat genotypes. More over the average yield of genotypes ranked HI1620, HI1628 and NIAW3170 as of order of choice. SI had expressed all direct relations of moderate to high degree of correlations except with WAASB and weak relations with yield, PRVG and MHPRVG values. Only negative correlations had expressed by WAASB measure while positively correlated with yield, PRVG and MHPRVG. Second year of study observed suitability of NIAW3170, DBW296 and PBW644 genotypes as far as WAASB values were concerned. Superiority index found DBW296, HUW838 and NIAW3170 as of stable performance with high yield. More over the average yield of genotypes ranked DBW296, HUW838 and JAUW672 as of order of choice. Mean yield showed a highly significant positive correlation with SI, MHPRVG, PRVG and negative values of correlation with AMMI based measures. SI had expressed all inverse relations with measures WAASB, EV, ASV, MASV as only negative values were seen. Positive correlations were maintained by WAASB measure with Za, SIPC, ASTAB, ASV1.

scholarly journals SELECTION INDEX AS WEIGHTED AVERAGE OF ABSOLUTE SCORES OF AMMI MODEL & YIELD OF WHEAT GENOTYPES EVALUATED IN NORTH WESTERN PLAINS ZONE OF THE COUNTRY

2020 ◽  
Vol 8 (6) ◽  
pp. 828-838
Author(s):  
Ajay Verma ◽  
◽  
GP Singh ◽  
Keyword(s):  
Selection Index ◽  
Weighted Average ◽  
High Yield ◽  
First Year ◽  
Average Yield ◽  
Wheat Genotypes ◽  
Gxe Interaction ◽  
Stable Performance ◽  
Ammi Model ◽  
High Degree

Highly significant effects of the environment (E), GxE interaction and genotypes (G) observed by AMMI analysis during 2018-19 and 2019-20 study years. First year of the study observed suitability of WH1124&HD3059 wheat genotypes by WAASB measure. Superiority index while weighting 0.65 and 0.35 for yield & stability found WH1124 &PBW771 as of stable performance with high yield. Moreover the average yield of genotypes ranked PBW771 & WH 1124 as of the order of choice. PRVG and MHPRVG measures observed the suitability of PBW 771 & PBW752 wheat genotypes. The first two PCAs explained 82.3% of the variation of the original variables. SI clubbed with EV & SPIC. Values of SI for wheat genotypes expressed high direct relation with yield, MHPRVG&PRVG measures only, and negative correlation with remaining measures. WAASB measure exhibited direct relationships with most of the AMMI based stability measures and negative values of correlation with SI, PRVG, MHPRVG and yield. Second year of study wheat genotypes DBW291, WH1264 & HD3334 were selected by WAASB measure. Superiority index found PBW812, HD3334& WH1264 as of stable performance along with high yield. MHPRVG measures observed suitability of PBW812, PBW771 & DBW173 while PRVG favoured PBW812, PBW771& JKW261 while consensus observed regarding WH1021 & WH1124 as unstable wheat genotypes. Moreover the average yield of genotypes ranked PBW812, JKW261 & PBW771 as of the order of choice. Values of SI measure had expressed positive correlation of high magnitude with yield, PRVG and MHPRVG whereas indirect relations of high degree with AMMI based stability measures. Values of WAASB measure had positive relations with AMMI based stability measures along with negative values of correlation with SI, yield, PRVG, and MHPRVG.

Genetic divergence and stability (AMMI) study in chickpea (Cicer aeritinum L.) under north western Himalayas of Jammu and Kashmir, India

2016 ◽  
Author(s):  
Sanjeev Kumar ◽  
Praveen Singh ◽  
Magdeshwar Sharma
Keyword(s):  
Genetic Diversity ◽  
Mean Value ◽  
Western Himalayas ◽  
Jammu And Kashmir ◽  
Days To Maturity ◽  
Cluster Distance ◽  
Breeding Programmes ◽  
Ammi Model ◽  
High Yielding Varieties ◽  
North Western

Genetic diversity of seventeen chickpea genotypes was studied through Mahalanobis D2, Tocher’s Method. The genotypes under study fall into five clusters. The cluster- IInd contained the highest number of genotypes (08) and Cluster IV and V contained the lowest (01). Cluster- II produced the highest mean value for days to maturity. The inter-cluster distances were much higher than the intra-cluster distances. Cluster-V exhibited the highest intra-cluster distance while the lowest distance was observed in cluster-IV and V. The highest inter-cluster distance was observed between cluster-III and V while the lowest was between cluster-I and IV. Considering all the characters, it is suggested that the genotypes 81-0-800, C-306, 96907, C-235 and SCS-3 could be used as parents for future breeding programmes to develop high yielding varieties of chickpea. As per AMMI model, two genotypes i.e. C-81 and 96911 were identified as having wider adaptability along with higher seed yield per plant.

scholarly journals Interaksi Genotipe x Lingkungan Hasil dan Komponen Hasil 14 Genotipe Tomat di Empat Lingkungan Dataran Rendah

2015 ◽  
Vol 43 (1) ◽  
pp. 59
Author(s):  
Suprayanti Martia Dewi ◽  
Sobir , ◽  
Muhamad Syukur
Keyword(s):  
Stability Analysis ◽  
Block Design ◽  
Fruit Weight ◽  
Genotype X Environment Interaction ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Gxe Interaction ◽  
Superior Genotype ◽  
Ammi Model ◽  
The Stability

Genotype x environment interaction (GxE) information is needed by plant breeders to assist the identification of superior genotype. Stability analysis can be done if there is a GxE interaction, to show the stability of a genotype when planted in different environments. This study aimed to estimate the effects of genotype x environment interaction on yield and yield components of fruit weight per plant as well as to look at the stability of 14 tomato genotypes at four lowland locations. The study was conducted at four locations, namely Purwakarta, Lombok, Tajur and Leuwikopo. Experiments at each location was arranged in a randomized complete block design with three replications. Stability analysis was performed using the AMMI model. Fruit weight, fruit diameter, number of fruits per plant and total fruit weight per plant characters showed highly significant genotype x environment interactions. Variability due to the effect of GxE interaction based on a AMMI2 contributed by 88.50%. IPBT3, IPBT33, IPBT34, IPBT60 and Intan were stable genotypes under AMMI model.<br />Keywords: AMMI, multilocation trials

scholarly journals Wheat genotypes evaluated for GxE interactions in Central Zone of the country by AMMI analysis

2021 ◽  
Vol 23 (3) ◽  
pp. 341-345
Author(s):  
AJAY VERMA ◽  
Keyword(s):  
Principal Components ◽  
Central Zone ◽  
Sum Of Squares ◽  
First Year ◽  
Wheat Genotypes ◽  
Biplot Analysis ◽  
Gxe Interaction ◽  
Ammi Analysis ◽  
Gxe Interactions ◽  
Second Year

Highly significant effects of environments, GxE interaction and genotypes were observed for cropping years 2017-18 and 2018-19. Further analysis of interactions sum of squares bifurcated into seven significant multiplicative interactions principal components to assess the performances of genotypes as per AMMI based measures. For the first year of study wheat genotypes (G5, G6, G7) had top ranked by EV2, D2, ASV, ASV1 and ASTAB2 measures. MASV & MASV1 pointed towards G7, G8, G6 wheat genotypes. Association among these measures displayed graphically in a biplot analysis. Largest cluster comprised of D2, D3, D5, D7, ASV, ASV1, ASTAB2, EV2, EV3, EV5, ASTAB3, ASTAB5, ASTAB7 measures. Wheat genotypes (G1, G11, G3) pointed by EV2, D2, ASV, ASV1 and ASTAB2 values for the second year. MASV settled for G11, G7, G13 whereas MASV1 pointed towards G11, G7, G2. Biplot analysis based on first two PC’s observed largest group had clubbed measures D2, ASV, ASTAB2, EV5, MASV, MASV1, EV3, D3, D5, D7, EV7, ASTAB3 ASTAB5, ASTAB7. AMMI based measures would be useful to identify and recommend genotypes with high, stable and predictable yield across environments.

scholarly journals Yield stability of rapeseed genotypes under drought stress conditions

2019 ◽  
Vol 79 (01) ◽  
Author(s):  
Mehdipour Sara ◽  
Rezaeizad Abbas ◽  
Azizinezhad Reza ◽  
Etminan Alireza
Keyword(s):  
Genotype X Environment ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Gxe Interaction ◽  
Cropping Season ◽  
Moisture Regimes ◽  
Ammi Model ◽  
Gxe Interactions ◽  
Cropping Seasons ◽  
Poor Stability

Genotype by Environment (GxE) interactions of 29 rapeseed genotypes in normal irrigation and irrigation cut off from flowering and silique formation stages have been worked out from the data recorded during three cropping seasons. Combined variance analysis showed a significant variation for year (cropping season), moisture regimes, genotype, genotype x moisture regimes and genotype x year interactions. Results of AMMI model analysis showed that three first genotype x environment principal components (PC) were significant at 1% level of probability and fourth PC at 5% level. These four components explained 35.6, 24.4, 18.4 and 14.8 per cent of the GxE sum of squares, respectively. According to AMMI2 biplot analysis, genotypes such as L155, Neptune, Elvise, Jerry, GkGabriella, Sw102, GKH0224, Julius, GKH3705 and Sarigol were positioned in the center of the biplot so had the least GxE interaction and showed the most general compatibility. Based on simultaneous selection, winter type of genotypes namely, GKH2624, SW102, HW118, GKH3705, Wpn6 and L72 were identified as high yielding and stable whereas, spring genotypes namely, Zabol10, Dalgan, Jerome and Hyola4815 were identified as low yielding with poor stability.

scholarly journals Genotype by environment interaction analysis of wheat (Triticum aestivum L.) grain yield under rain-fed conditions in Zambia

2021 ◽  
Vol 53 (4) ◽  
pp. 609-619
Author(s):  
B. Tembo
Keyword(s):  
Grain Yield ◽  
Agricultural Research ◽  
Interaction Analysis ◽  
Crop Improvement ◽  
Genotype By Environment Interaction ◽  
Research Station ◽  
Environment Interaction ◽  
Wheat Genotypes ◽  
Lattice Design ◽  
Genotype By Environment

Understanding genotype by environment interaction (GEI) is important for crop improvement because it aids in the recommendation of cultivars and the identification of appropriate production environments. The objective of this study was to determine the magnitude of GEI for the grain yield of wheat grown under rain-fed conditions in Zambia by using the additive main effects and multiplicative interaction (AMMI) model. The study was conducted in 2015/16 at Mutanda Research Station, Mt. Makulu Research Station and Golden Valley Agricultural Research Trust (GART) in Chibombo. During2016/17, the experiment was performed at Mpongwe, Mt. Makulu Research Station and GART Chibombo, Zambia. Fifty-five rain-fed wheat genotypes were evaluated for grain yield in a 5 × 11 alpha lattice design with two replications. Results revealed the presence of significant variation in yield across genotypes, environments, and GEI indicating the differential performance of genotypes across environments. The variance due to the effect of environments was higher than the variances due to genotypes and GEI. The variances ascribed to environments, genotypes, and GEI accounted for 45.79%, 12.96%, and 22.56% of the total variation, respectively. These results indicated that in rain-fed wheat genotypes under study, grain yield was more controlled by the environment than by genetics. AMMI biplot analysis demonstrated that E2 was the main contributor to the GEI given that it was located farthest from the origin. Furthermore, E2 was unstable yet recorded the highest yield. Genotype G47 contributed highly to the GEI sum of squares considering that it was also located far from the origin. Genotypes G12 and G18 were relatively stable because they were situated close to the origin. Their position indicated that they had minimal interaction with the environment. Genotype 47 was the highest-yielding genotype but was unstable, whereas G34 was the lowest-yielding genotype and was unstable.

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